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Association of walkability and NO2 with metabolic syndrome: A cohort study in China.
Zhu, Zhanghang; Yang, Zongming; Zhang, Xinhan; Yu, Luhua; Yang, Dandan; Guo, Fanjia; Meng, Lin; Xu, Lisha; Wu, Yonghao; Li, Tiezheng; Lin, Yaoyao; Shen, Peng; Lin, Hongbo; Shui, Liming; Tang, Mengling; Jin, Mingjuan; Wang, Jianbing; Chen, Kun.
Afiliação
  • Zhu Z; Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Yang Z; Department of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Zhang X; Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Yu L; Department of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Yang D; Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Guo F; Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Meng L; Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Xu L; Department of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Wu Y; Department of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Li T; Department of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Lin Y; Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Shen P; Yinzhou District Health Bureau of Ningbo, Ningbo 315040, China.
  • Lin H; Yinzhou District Health Bureau of Ningbo, Ningbo 315040, China.
  • Shui L; Department of Chronic Disease and Health Promotion, Yinzhou District Center for Disease Control and Prevention, Ningbo 315040, China.
  • Tang M; Department of Public Health, Fourth Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Jin M; Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China.
  • Wang J; Department of Public Health, and Department of National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China. Electronic address: wangjianbing@zju.edu.cn.
  • Chen K; Department of Public Health, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China. Electronic address: ck@zju.edu.cn.
Environ Int ; 171: 107731, 2023 01.
Article em En | MEDLINE | ID: mdl-36610356
ABSTRACT

BACKGROUND:

Epidemiological studies have reported an association between traffic-related pollution with risk of metabolic syndrome (MetS). However, evidence from prospective studies on the association of walkability and nitrogen dioxide (NO2) with MetS is still scarce. We, therefore, aimed to evaluate the association of long-term exposure to NO2 and walkability with hazards of incident MetS.

METHODS:

A total of 17,965 participants without MetS diagnosed within one year at baseline were included in our study from a population-based prospective cohort in Yinzhou District, Ningbo, Zhejiang Province, China. Participants were followed up by the regional Health Information System (HIS) until December 15, 2021. MetS was defined based on the criteria of Chinese Diabetes Society (CDS2004). We used walkscore tools, calculating with amenity categories and decay functions, and spatial-temporal land-use regression (LUR) models to estimate walkability and NO2 concentrations. We used Cox proportional hazards regression models to examine the association of walkability and NO2 with hazards of MetS incidence reporting with hazard ratios (HRs) and 95% confidence intervals (CIs).

RESULTS:

Overall, we followed up 77,303 person-years and identified 4040 incident cases of MetS in the entire cohort. Higher walkability was inversely associated with incident MetS (HR = 0.94, 95 % CI 0.91-0.99), whereas NO2 was positively associated with MetS incidence (HR = 1.07, 95 %CI 1.00-1.15) per interquartile range increment in two-exposure models. Furthermore, we found a significant multiplicative interaction between walkability and NO2. Stronger associations were observed for NO2 and incident MetS among men, smokers, drinkers and participants who aged < 60 years and had higher levels of income.

CONCLUSION:

In summary, we found living in areas with lower walkability and higher concentrations of NO2 were associated with increased incidence of MetS. The beneficial effect of higher walkability may be attenuated by exposure to NO2.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Síndrome Metabólica / Poluentes Atmosféricos / Poluição do Ar Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male País/Região como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article